IOM Tracking of Spontaneous Returns Project

Total Returns to South Post CPA to June 2009

Table of Contents

Acknowledgements...... 2 Summary...... 3 1. Background...... 4 2. Objectives ...... 4 3. Methodology...... 5 3.1. En-route Tracking...... 5 3.2. Area of Return Tracking...... 6 4. Capacity Building of SSRRC and VRRC...... 6 5. Total Estimated Number of Returns ...... 8 6. Analysis of Area of Return - Cumulative Data, February 2007 to June 2009...... 10 6.1. Total figure of spontaneous returnees from February 2007 to June 2009...... 10 6.2. Cumulative returns by state of return and by month, from February 2007 to June 2009...... 11 6.3. Cumulative figures Female Headed Household, by state from February 2007 to June 2009 ...... 12 6.4. Cumulative figures - age and gender breakdown of spontaneous returnees, by state ...... 14 6.5. Cumulative figures for vulnerable by state, from February 2007 to June 2009 ...... 15 6.6. Cumulative figures for transportation means, per state, from February 2007 to June 2009 ...... 15 6.7. Correlation of departure points and final destination of movements of spontaneous returnees, from February 2007 to June 2009...... 16 7. Analysis of En-route Tracking - Cumulative Data, November 2005 to June 2008...... 19 7.1. Household and individual cumulative statistics from November 2005 to June 2009 ...... 19 7.2. Cumulative returnees by state from November 2007 to June 2009...... 22 7.3. Cumulative figures - age and gender breakdown of spontaneous returnees...... 23 7.4. Cumulative figures for departure points reflecting highest number of movements from November 2005 to June 2009...... 23 Annexes ...... 27

1 Acknowledgements

IOM Sudan wishes to express it thanks to our primary partner in the Spontaneous Returns Tracking Project, the Relief and Rehabilitation Commission (SSRRC) of the Government of South Sudan (GoSS). IOM also wishes to thank the Government of National (GoNU), the Voluntary Return and Reintegration Committee (VRRC), Sudan Social Development Organization (SUDO), UNMIS Return Rehabilitation and Recovery, and the Adventist Development and Relief Agency (ADRA),

This project would not have been possible without the generous contributions and support of our donors. In this respect, IOM would like to offer its sincere appreciation to the United Nations Common Humanitarian Fund, the European Commission for Humanitarian Aid, OFDA/USAID, the World Food Programme and the Government of Norway.

2 Summary

The March 2005 Report of the Sudan Joint Assessment Mission (JAM) estimated that approximately four million people were displaced from (or within) Southern Sudan by the 1983 to 2005 civil war between northern and southern Sudan. Following the signing of the Comprehensive Peace Agreement (CPA) in January 2005, IOM calculates that both North-South and South-South return movements stand at almost 1.9 million (see Section 5, below).

More than 112,000 IDPs have been assisted through the UN-IOM/GNU/GoSS-assisted return programme, and for these returnees the return journey has been closely monitored and assistance has been provided at the point of arrival. For those, who have elected to return by themselves, however, the challenge to locate and provide support the returnees poses one of the greatest challenges to the international community and authorities aiming to support this massive population movement.

To address these challenges, the IOM tracking of spontaneous returns programme gathers detailed information such as return numbers, basic demographic information (sex, age) and special needs/vulnerabilities of IDPs and refugees who have spontaneously returned to Southern Sudan and Southern Kordofan.

The main return route is from Northern to Southern Sudan, but South - South movements are also monitored. Both IDP and refugee returns are included. Returns assisted by agencies / bodies other than the joint UN-IOM/GNU/GoSS organised returns project are classified as spontaneous and are included within the findings of this report.

The tool used for gathering returnee information is ‘key informant interviews’ with returnee households, either while in transit or in their final destination. Returnee information is gathered through two parallel systems, the first is the En-route Tracking and the second is the Area of Return Tracking (see Section 3 for a detailed description of these two tracking methods)

Since the beginning of IOM’s involvement in the tracking project, IOM has physically tracked 231,193 returnees during their return journey of which around 73,000 are state organised returnees (En-route Tracking) and 982,840 returnees in their villages of return (Area of Return Tracking).

From this data, in combination with other village level data gathered through IOM’s Village Assessment Programme IOM estimates the total number of successful returns since the CPA until the end of June 2009 to be 1.9 million returnees. This figure takes into account secondary displacement (i.e. people not remaining in their place of return) of an estimated 211,525 individuals. According to IOM estimates, has received the largest number of returns with an estimated 401,452 returnees (21 %) followed by Southern Kordofan with 270,000 returnees (14%). Eastern and Western Bahr el Ghazal states received the lowest number of returnees with 69,974 returnees (4%) and 46,352 returnees (2%) respectively.

Single female-headed households (SFHH) tracked during their journey represents only 39% of en route tracked returnees, while tracking in the area/village of return revealed that SFHHs represent 59% of the total tracked households (Area of Return Tracking) in Southern Sudan and Southern Kordofan.

The average family size tracked while travelling is 5.2. This increased to 5.5 in the area/villages of return. Also 44% of the adults tracked en route from the place of displacement to the place of return were between 18 to 59 years old. This decreases to 31% of adult returnees tracked in the area/villages of returns.

3 The main means of transportation from North to South is trucks or buses (75%). Those who walked to reach their final destination comprised 15% of the returnee population. 5% used barges and the rest returned by air.

1. Background

The March 2005 report of the Sudan Joint Assessment Mission (JAM) estimated that approximately four million people were displaced from (or within) Southern Sudan by the 1983 to 2005 civil war between northern and southern Sudan. Following the signing of the Comprehensive Peace Agreement (CPA) in January 2005, IOM calculated that both North-South and South-South return movements stand at almost 1.7 million (see Section 5, below).

While those assisted in their return within the joint UN-IOM/GNU/GoSS-assisted return programme (approximately 112,000 individuals) have been closely monitored; others who have elected to return by themselves continue to pose enormous challenges to the international community and authorities that try to locate them, and provide support.

To address these challenges, the IOM Tracking of Spontaneous Returns Programme gathers detailed information such as return numbers, basic demographic information (sex, age) and special needs/vulnerabilities of IDPs and refugees who have spontaneously returned to Southern Sudan and Southern Kordofan.

IOM has been involved in the tracking of spontaneous returnees since the signing of the CPA, but assumed full responsibility for the programme from OCHA in 2006. Since that time, IOM has made a number of significant enhancements to the tracking system in terms of coverage, methodology and statistical analysis.

This report represents the culmination of the effort to provide accurate tracking of a large number of the returns within a huge geographic area and give a statistically valid estimate of the total number of returns to Southern Sudan and Southern Kordofan.

2. Objectives

The objectives of the Tracking Project are:

• To provide a detailed understanding of returnee numbers, routes, modes of transport and destinations in order to assist in the targeting of assistance to those returnees; • To act as an advance-warning mechanism in the event of large-scale population movements; • To build the capacity of the government through the provision of resources and training, aiming towards the self sustainability of the project; • To facilitate and improve longer term planning for the tracked spontaneous returnees, including for emergency preparedness, early recovery and development; • To prioritize villages with high number of returnees and refer them to the Protection Monitoring programme in order to assess the basic infrastructure of these villages (impact of the returnees on villages of arrival); • To refer protection concerns to specialized actors.

4 3. Methodology

IOM tracking activities in Sudan can be divided into two types: ‘En-route Tracking’ and ‘Area of Return Tracking’. En-route and Area of Return Tracking are designed to compliment each other, but significant differences exist between these two methodologies.

En-route Tracking is the recording of returnee movements by collecting data at main transport routes, transit hubs, and key geographic entry points, etc. This type of tracking potentially covers all payams in Southern Sudan and Southern Kordofan, but the data provides only ‘indicators’, trends and patterns of spontaneous returns and captures a relatively limited amount of verified data.

Area of Return Tracking is the gathering of data on returnee movements by physically visiting villages in the areas of return to collect data. Area of return tracking provides actual numbers and locations of spontaneous returnees. Area of Return Tracking is currently undertaken in 405 of the 543 payams in Southern Sudan and South Kordofan. Area of Return Tracking provides more accurate and comprehensive data than En-route Tracking, but is considerably more costly and presents considerable logistical challenges to implement.

Tracking forms for Kosti (the main En-route Tracking hub) are processed in the Khartoum Joint Operation Centre (Khartoum-JOC), while Southern Sudan tracking forms are processed in the Joint Operation Centre (Juba-JOC). The data is then consolidated in a centralized IOM database. Verification and quality control is carried out at the data-entry level and at the centralized IOM Khartoum level.

3.1. En-route Tracking

In early 2005, OCHA and IOM, in partnership with the Humanitarian Aid Commission (HAC) and the Adventist Development and Relief Agency (ADRA), began implementing a framework to track IDP movements from the North of Sudan. In the South, the South Sudan Relief and Rehabilitation Commission (SSRRC) implemented a similar framework to track the IDP return process with the support of UN-OCHA.

The programme at this time was entirely based on an ‘en-route’ methodology. For En-route Tracking, information on the movement of returnees is gathered from key transportation hubs ‘en route’ between places of displacement and return areas in the southern parts of Sudan. En-route Tracking data is collected through direct interviews and a standardized tracking form is used to capture demographic data such as gender and age, as well as key movement information like place of departure and final destination. As such, the methodology relies on various assumptions about returnee choices and preferences, and thus accepts a degree of imprecision.

At its peak, En-route Tracking data was collected from 28 tracking points, but the data collection points were reduced to 17 by the end of June 2008. This reduction was in line with IOM Sudan’s shift from En- route Tracking to Area of Return Tracking to meet stakeholder demands for ‘actual’ rather than ‘indicative’ data.

In August 2008, En-route Tracking was stopped altogether, but in May 2009 IOM resumed En route Tracking in Kosti in order to capture data on State organized returns that passed through the 6 tracking points in Kosti, but which were not always returning to Southern Sudan where they would normally be captured by the Area of Return Tracking.

5 3.2. Area of Return Tracking

Due to stakeholder demands to capture more accurate data about the number of returnees at the village level, and in order to complement the En-route Tracking system, IOM started to track movements at the areas of return through direct assessments at the village level in February 2007. This method was introduced as a pilot phase in State and was later extended to other Southern Sudan states.

The Area of Return Tracking targets only those areas where it is believed that the highest returns have occurred. The selection of the areas for assessment is based on a number of indicators including results from En-route Tracking, Return Working Group (RWG) discussions, and information passed to IOM through local level inter-agency/SSRRC coordination forums. SSRRC is IOM’s main partner in this project: SSRRC oversees the deployment of more than 380 staff to implement the project, following intensive training by IOM.

On a monthly basis, field enumerators in selected payams interview village leaders who are responsible for consolidating a list of new spontaneous arrivals. The field enumerators register the spontaneous returnees as household registration. The data is collected using a standardized tracking form which captures a range of demographic data such as gender and age, as well as vulnerability information and movement data such as departure and final destination points. All data is then compiled in a centralized IOM database. Verification and quality control is conducted at the State level, data entry level and at the centralized IOM Khartoum level.

IOM shares the data collected with the Return and Reintegration Working Groups at State level. Interagency Missions are conducted in all States to verify the return figures and to provide early reintegration assistance.

4. Capacity Building of SSRRC and VRRC

A vital component of the Tracking Project is capacity building for the South Sudan Relief and Rehabilitation Commission (SSRRC) and the Voluntary Return and Reintegration Committee (VRRC) of Southern Kordofan. Capacity building is provided in the form of direct financial support, training, technical support, materials and project management. The field training includes interview techniques, registration training and quality control. At this point in time, IOM conducts all data entry, data processing and data management. IOM’s partners contribute to information gathering, field management, project development and aspects of project management.

Initially IOM, in close cooperation with SSRRC and UNMIS RRR, selected 200 payams in the ten considered to have the greatest number of returns. IOM targeted several states (Southern Kordofan, Northern Bahr el Ghazal (NBeG), and Unity) as ‘priority states’. These states reached 100% tracking coverage, which means tracking is conducted in every payam of the State, by August 2008. Across Southern Sudan as a whole, IOM has determined optimal coverage to be 75%, beyond which point the number of returns does not justify the cost of extending the tracking system, since their number is small and they are scattered in so many villages (villages of low number of returnees). The optimum tracking level was achieved in June 2009.

The initial training phase started in August 2007 and was completed in March 2008 and involved the training of SSRRC staff to cover the first 200 payams initially selected by IOM in close cooperation with SSRRC and UNMIS RRR. Phase II of the training was finalized in the priority states of NBeG, Warrap and Unity, including SSRRC staff and local leaders. Refreshment trainings in all States were conducted on a regular basis. The training sessions for the extension in 2009 targeted previous enumerators to refresh their knowledge as well as new enumerators representing the third phase of the training. The total number of trainings conducted is shown in Table 1 below.

6 Table 1: IOM counterpart trainings given as part of IOM/SSRRC tracking programme in Southern Sudan and VRRC training in Southern Kordofan

Training Upper SK CES EES WES Lakes NBeG WBeG Warrab Unity Jonglei Total Year Nile 2007 44 47 47 43 122 58 43 31 29 43 45 552 2008 375 25 69 122 591 2009 45 40 42 47 49 55 278 Total 419 92 87 85 169 83 43 100 151 92 100 1,421

Training in Southern Kordofan started in June 2007. At that time, IOM trained 44 VRRC enumerators in the collection of return information at the village level. In April 2008, IOM, SUDO (IOM’s implementing partner in Southern Kordofan) and UNMIS RRR undertook an extensive tracking activity covering almost all villages in Southern Kordofan State. This involved enumerator teams visiting more than 1,000 villages and collecting initial information about returnees in 497 villages. The teams also trained 400 village focal points on how to use the IOM tracking booklet (tracking standardized form) to gather further returns data. The focal points were trained to establish a tracking system in corporation with VRRC similar to the system used in Southern Sudan.

By June 2009 the trained SRRC/VRRC staff were responsible for the selection, administration and supervision of the tracking staff. The personnel managed by SSRRC/VRRC consist of 543 Field Enumerators, 70 County Supervisors, 11 State Focal Points and 1 RIC Focal point. See Table 2 for the total number of counties and payams covered by SSRRC/VRRC staff:

Table 2: Tracking coverage by County and Payam

Tracking Coverage by County Tracking Coverage by Payam State Total Selected % of coverage Total Selected % of coverage Western Bahr El Ghazal 3 3 100% 16 16 100% Warrap 6 6100% 41 41 100% Northern Bahr El Ghazal 5 5 100% 37 37 100% Unity 9 9100% 73 73 100% 6 4 67% 45 20 44% Lakes 8 8100% 54 52 96% WES 10 440% 53 19 36% EES 8 450% 50 20 40% 13 4 31% 72 20 28% Jonglei 11 436% 71 20 28% Southern Kordofan 7 7 100% 31 31 100% Total 86 58 543 349 Average of coverage 75% 70%

7 5. Total Estimated Number of Returns

No tracking system for spontaneous returns will be able to capture complete data. In particular, ‘En- route Tracking’ accepts a degree of inaccuracy as it is founded on various assumptions about human behaviour and choices in terms of the route of return. Several advances in IOM’s tracking and other projects, however, allow IOM to estimate the total number of returns with a reasonable degree of confidence. These factors include:

1) The increased emphasis on Area of Return Tracking, which gathers actual data from the villages of return. 2) 100% coverage of the Tracking Programme in payams of selected States, establishing the statistical basis to predict total returns in states where 100% coverage has not been achieved. 3) The incorporation of data from IOM’s Village Assessments Project. This project provides detailed information on selected villages, including information on secondary displacements which provides the basis to estimate secondary displacement for the region as a whole.

The superior nature of Area of Return Tracking data over En-route Tracking is addressed in detail above (3.1 and 3.2), and the expansion of the IOM Tracking Project to attain 100% payam coverage in selected states is detailed in Section 4.

In order to extrapolate from sample data a projected total number of returns per state, IOM used a simple equation based on the relation of assessed to non assessed number of villages1. The projected number of returnees is calculated by multiplying the current tracked returnees, in the areas of return, up to June 2008 by 100 percent and then dividing the result by the percentage of coverage:

RE = (x ×100%) / y%

Where, RE: the estimated number of returnees x: total number of returnees trucked up to June 2009 y%: percentage of villages coverage out of the total village.

Based on this formula, the total number of returns for each State in South Sudan and Southern Kordofan is shown in Table 3 below.

Table 3: Returns projection by State depending on areas of return numbers and coverage; IOM tracking programme in Southern Sudan and Southern Kordofan, up to June 2009

Current Tracked % of state coverage up to Projected Number of State Returnees June 2009 at Village Level Returnees up to June 2009 Northern Bahr El Ghazal 226,330 50% 401,452 Southern Kordofan 298,098 100% 270,000 Central Equatoria 57,735 17% 208,212 Jonglei 31,977 12% 239,828 Warrab 49,302 23% 147,514 Upper Nile 19,549 15% 117,294 27,086 20% 114,017 Unity 60,051 45% 120,102 Lakes 130,322 95% 116,399 14,607 25% 52,585 Western Bahr El Ghazal 45,554 85% 46,352 36,836 45% 69,974 Total 997,447 1,903,729

1 This does not apply to Southern Kordofan as coverage in this state is 100% and therefore the figure is not projected.

8 As indicated in Table 3 above, the estimated number of returnees in Southern Sudan, Abyei and Southern Kordofan is 1,903,729. Northern Bahr el Ghazal has received the largest number of returns with an estimated 401,763 returnees (22 %) followed by Southern Kordofan with 298,098.

It should be noted that the En-route Tracking data (sections 7.2) shows Southern Kordofan to be the state with the highest number of returns. This apparent anomaly can be attributed to the easy movement between Khartoum and Southern Kordofan, and relatively cheap transportation leading to a high degree of mobility between the two States. The En-route Tracking system tends to record the ebb and flow of movements between the two States which registers as return activity. Area of Return Tracking is able to provide much more accurate results.

It is also important to note that the figures provided above (Table 3) do not take into consideration secondary displacements: instances where the return ‘fails’ and returnees leave their return destination, either returning to the place of original displacement (e.g. Khartoum) or to another places (e.g. Juba, Kadugli, other urban areas).

Estimating the number of these secondary displacements is challenging. IOM, however, has been able to provide an estimate of failed returns based on IOM’s complementary Village Assessment Project. This project utilises Sudan-specific questionnaires to provide detailed village level assessments (nearly 7,000 villages were assessed in 2008 and 2009). The assessments provide information on the population and tribal composition of villages, the availability of shelter and food, and livelihood opportunities as well as information on water and sanitation, health and education and, critically, population movements.

Based on the Village Assessment data, IOM is able to establish an estimated average percentage of secondary displacements across the following states. See Table 4 for more details.

Table 4: Secondary displacement by state depending on areas of return numbers and coverage; IOM Protection Monitoring Programme – Village Assessment in Southern Sudan and Southern Kordofan, March 2007- June 2009

Total Returnees Failed % of failed to State (village returns successful assessment) Southern Kordofan 277,217 27,217 10% Warrap 151,806 8,750 6% NBeG 400,098 29,320 7% Unity 122,421 24,000 20% Western Bahr El Ghazal 55,925 4,992 9% Average 10%

9 6. Analysis of Area of Return - Cumulative Data, February 2007 to June 2009

The data provided below is based on actual tracked data, not projected total data as in Section 5.

Area of Return Summary:

• From February 2007 to June 2009, a total of 982,840 returnees were tracked at the area of return in the 10 states of Southern Sudan and in Southern Kordofan. The average coverage of villages in the area of return reached 75% by June 2009. • The total number of tracked families at the areas of return during the reporting period is 180,591 families, with 5.4 as an average family size. • Females represented 51% of those tracked. • The largest age group is Youth (5-17) representing 35% (268,551) of the total tracked. • Around 9% of returnees are aged 60 or over. • Female-headed households represent 59% of the total tracked households. • 75% of returnees used buses or trucks to reach their final destination, 15% walked to the final destination, 5% used boats and finally 2% travelled via aeroplane. • The tracking system recorded 30,615 vulnerable cases (3%) during the reporting period. These included pregnant and lactating women (43%) and unaccompanied, missing or separated children (15 %).

It should be noted that the total of Tables 5 and 6 (982,840 returnees) is more than the total of Table 8, 10 and 11 (756,573 returnees). This is because not all of Southern Kordofan data is disaggregated by age and gender due to a differing reporting methodology used during 2008.

6.1. Total figure of spontaneous returnees from February 2007 to June 2009

Between February 2007 and June 2009, a total of 982,840 spontaneous returnees (180,591 households) were tracked through the Area of Return Tracking (though the data collected includes those returns that have occurred from the period of the signing of the CPA). Spontaneous returns decreased significantly during the rainy season in 2007. Return numbers appeared to increase steeply in September and November 2007, but this increase is determined by IOM to be largely a result of increased capacity building training of SSRRC staff conducted in August and October 2007.

Only 96,291 returnees were registered during the first half of 2007, but the number of returnees tracked during the first half of 2008 increased by 82% to a total of 529,266 returnees, see Table 5 for more details. This can, again, be largely attributed to improvements in the tracking system bought about by funding increases that allowed greater reach to the villages of high return. The capacity building training is still on going. In the first half of 2009 returns decreased slightly compared to the first half of 2008.

10 Table 5: IOM Sudan/SSRRC/VRRC, Area of Return Tracking: cumulative data of spontaneous returnees per month, February 2007 to June 2009

% of % of % of 2007 HOH Returnees 2008 HOH Returnees 2009 HOH Returnees Returnees Returnees Returnees Feb 1,988 11,759 1% Jan 4,897 26,790 3% Jan 3,535 18,745 2% Mar 3,026 25,344 3% Feb 5,569 28,106 3% Feb 4,261 22,767 2% Apr 3,627 31,294 3% Mar 8,851 46,298 5% Mar 5,656 28,245 3% May 2,606 14,406 1% Apr 31,246 159,063 16% Apr 5,639 29,858 3% Jun 2,364 13,488 1% May 32,103 165,272 17% May 7,315 38,703 4% Jul 662 4,025 0% Jun 19,639 103,737 11% Jun 6,761 37,077 4% Aug 525 3,178 0% Jul 5,726 32,182 3% Total 33,167 175,395 18% Sep 2,349 16,697 2% Aug 4,187 22,767 2% Oct 987 6,761 1% Sep 2,735 14,740 1% Nov 3,189 20,748 2% Oct 1,401 8,050 1% Dec 2,701 14,129 1% Nov 2,128 11,932 1% Total 24,024 161,829 16% Dec 4,917 26,679 3% Total 123,400 645,616 66% Grand Total 180,591 982,840 100%

The reason for the notable increase of spontaneous returnees in March and April 2008 is closely related to the Sudanese population census which was conducted in April 2008. This led to intensified state organized returns as well as spontaneous return movements. In addition, the tracking data received from Southern Kordofan as well as the expansion of the programme to all payams in Northern Bar el Ghazal was included in April, May and June 2008, therefore more returnees were reached and identified during that specified period.

From January to June 2009, a total of 175,395 spontaneous returnees have been tracked at the Area of Return.

The tracking in Southern Kordofan was conducted through initial gatherings of returnee numbers at each village level in 2008. In 2009 IOM start using the standardised tracking form in Southern Kordofan. Household registration was available for (12,287 HH corresponding to 71,831 returnees) from January to June 2009 - this data was gathered through VRRC staff. Southern Kordofan’s partial data (January to June 2009) is included in Sections 6.3, 6.4, 6.5, 6.6, and 6.7 below.

6.2. Cumulative returns by state of return and by month, from February 2007 to June 2009

The main return destinations of the total tracked returnees are Northern Bahr el Ghazal (23%) and Southern Kordofan (30%), see Table 6 below. In view of the total return figure it should be noted that all States did not begin Area of Return Tracking at the same time. In February/March 2007, only Lakes, Northern Bar el Ghazal, Warrab and Western Bar el Ghazal were providing data and the considerable increase of spontaneous returns to Northern Bar el Ghazal in April and June 2008 reflects the success of the expansion of the Tracking Programme to all payams in that State.

The comprehensive tracking exercise in Southern Kordofan resulted in the high return figure from April to June 2008.

11 Table 6: IOM Sudan/SSRRC/VRRC, Area of Return Tracking: cumulative returns by state of origin, by month, February 2007 to June 2009

Upper Month CES EES Jonglei Lakes NBEG Unity Warrab WBEG WES SK Total Nile Feb 2007 6,946 4,804 9 11,759 Mar 2007 5,296 19,031 382 635 25,344 Apr 2007 7,013 22,694 1,133 454 31,294 May 2007 2,238 10,910 1,004 254 14,406 Jun 2007 2,290 8,356 2,085 757 13,488 Jul 2007 888 684 369 2,084 4,025 Aug 2007 17 1,692 156 7 1,306 3,178 Sep 2007 2 14,137 1,273 1,285 16,697 Oct 2007 5,760 254 91 656 6,761 Nov 2007 9 8,352 1,727 7,872 782 1,838 168 20,748 Dec 2007 2,522 1,549 2,624 1,168 2,093 2,545 1,628 14,129 Jan 2008 6,993 3,021 4,846 2,584 2,464 4,577 2,305 26,790 Feb 2008 3,371 3,814 1,519 6,122 1,887 33 3,219 5,601 2,540 28,106 Mar 2008 4,569 3,527 2,487 1,822 12,860 2,632 7,139 2,414 5,134 3,714 46,298 Apr 2008 6,026 1,904 2,180 2,359 22,201 988 3,061 1,510 3,709 1,289 113,836 159,063 May 2008 1,125 1,306 2,262 5,505 28,151 491 2,666 678 1,634 1,642 119,812 165,272 Jun 2008 2,714 880 1,221 4,435 12,106 9,090 723 3,514 2,812 1,792 64,450 103,737 Jul 2008 1,406 517 418 3,032 12,581 6,023 554 5,179 373 2,099 32,182 Aug 2008 423 2,462 1,490 3,822 5,438 3,160 1,404 2,385 631 1,552 22,767 Sep 2008 1,498 1,300 980 3,475 2,862 3,418 296 9 143 759 14,740 Oct 2008 158 1,130 4,711 514 509 1,021 7 8,050 Nov 2008 147 1,428 2,757 2,668 2,257 357 1,119 1,199 11,932 Dec 2008 323 2,408 6,985 5,809 1,342 357 8,411 319 725 26,679 Jan 2009 5,040 8,485 3,980 100 115 385 640 18,745 Feb 2009 6,534 442 3,836 75 8,012 602 1,371 1,749 146 22,767 Mar 2009 2,464 3,073 3,804 7,423 4,583 713 4,442 1,743 28,245 Apr 2009 2,906 888 3,700 13,150 3,914 1,824 344 3,132 29,858 May 2009 625 365 9,599 18,335 7,419 155 1,536 669 38,703 Jun 2009 18,406 1,849 6,296 3,135 3,865 1,777 1,749 37,077 Total 57,735 36,836 31,977 130,322 226,330 60,051 19,549 49,302 45,554 27,086 298,098 982,840 % 6% 4% 3% 13% 23% 6% 2% 5% 5% 3% 30% 100%

(See Annexes 1 to 11 for more details about return destination as state and payam breakdown.)

The average family size of returnees’ as determined by the Area of Return Tracking is 5.4. The family size varies from 4.3 in Jonglei and Eastern Equatoria to 6.2 in Northern Bahr El Ghazal, while the average family size of returnees tracked ‘En route’ from the place of displacement to the place of final destination is 5.2 (see Section 7). This decrease of average family size in the Areas of Return may be attributed to family separation, movement between place of return and place of displacement, and secondary displacement.

6.3. Cumulative figures Female Headed Household, by state from February 2007 to June 2009

Spontaneous return movements show a tendency for women to return without the male head of household. There is also a trend for males to accompany their families to the place of return but to go back to the place of displacement or to a secondary place of displacement mainly for employment and education reasons2 but also due to the lack of, or limited access to, basic services in the villages of final destination.

Female headed households represent 59% of the total tracked households in Southern Sudan and Southern Kordofan; see Table 7 for more details. This vulnerable group needs more in depth study in order to identify suitable intervention programmes that could help support reintegration for this special group.

2 “Monitoring of Spontaneous Returnees at Kosti Way Station”; January to June 2008, en route protection report.

12 The total female headed households tracked between February 2007 and June 2009 is 78,734. Out of this, 24,354 female headed household returned to Northern Bahr el Ghazal, representing 31% of the total number of tracked female headed households in the areas of return in Southern Sudan (see Figure 1).

Table 7: IOM Sudan/SSRRC, Area of Return Tracking: cumulative data SFHH at state level, February 2007 to June 2009

% of SF Upper to total Month CES EES Jonglei Lakes NBEG Unity Warrap WBEG WES SK Total Nile HH by Month Feb 2007 553 649 3 1,205 61% Mar 2007 339 1,087 37 33 1,496 49% Apr 2007 371 1,383 73 28 1,855 51% May 2007 286 1,517 124 15 1,942 75% Jun 2007 185 857 178 55 1,275 54% Jul 2007 70 57 40 301 468 71% Aug 2007 5 163 17 1 192 378 72% Sep 2007 2 1,205 150 167 1,524 65% Oct 2007 546 22 2 93 663 67% Nov 2007 1 546 154 1,082 48 261 12 2,104 66% Dec 2007 256 127 269 130 185 233 87 1,287 48% Jan 2008 767 265 673 327 271 625 152 3,080 63% Feb 2008 341 392 137 618 189 1 284 904 222 3,088 55% Mar 2008 367 447 450 166 1,474 310 542 321 771 276 5,124 58% Apr 2008 545 258 282 215 2,536 68 246 132 524 76 4,882 58% May 2008 78 147 415 548 3,451 31 164 57 88 128 5,107 63% Jun 2008 224 117 213 511 1,347 710 48 405 407 164 4,146 61% Jul 2008 107 70 70 388 1,359 507 50 662 44 151 3,408 60% Aug 2008 50 403 271 489 571 299 76 301 22 106 2,588 62% Sep 2008 153 179 181 468 342 312 21 2 2 55 1,715 63% Oct 2008 17 153 553 53 20 112 1 909 65% Nov 2008 8 186 341 300 224 34 102 107 1,302 61% Dec 2008 25 340 764 803 160 34 671 45 55 962 3,859 52% Jan 2009 544 916 508 11 17 44 59 939 3,038 49% Feb 2009 580 50 587 11 966 44 125 131 9 1,131 3,634 57% Mar 2009 263 468 557 1,057 482 55 783 192 1,265 5,122 63% Apr 2009 257 134 579 1,935 461 65 48 223 309 4,011 64% May 2009 62 65 1,581 2,388 756 13 280 90 228 5,463 68% Jun 2009 1,300 243 886 303 509 135 137 548 4,061 52% Total 4,921 4,683 5,186 13,488 24,354 6,157 1,352 5,527 5,664 2,020 5,382 78,734 59% % of Total 6% 6% 7% 17% 31% 8% 2% 7% 7% 3% 7% 100% % of SFHH to 47% 54% 70% 63% 67% 61% 40% 58% 67% 40% 44% 59% total HH by state

13 Figure 1: IOM Sudan/SSRRC, Area of Return Tracking: SFHH by State, February 2007 to June 2009

35% 31% 30%

25%

20% 17%

15%

10% 8% 7% 7% 7% 7% 6% 6% 5% 3% 2%

0% Northern Lakes Unity Western Warrap Southern Jonglei Central Eastern Western Upper Nile Bahr El Bahr El Kordofan Equatoria Equatoria Equatoria Ghazal Ghazal

6.4. Cumulative figures - age and gender breakdown of spontaneous returnees, by state

The age breakdown of all returnees indicates that 25% of the returnees were aged 1 to 4 years and 35% were of school age (5 to 17 years). See Table 8 for more details. This high percentage of school age children within the returnee population is likely to put pressure on the educational sector in Southern Sudan and may lead to some children, and particularly girls, from accessing education. 31% of returnees were adults aged 18 to 59 years: this group represents the legal labour force tracked during the reporting period. 9% of returnees were over 60 years old.

The gender breakdown indicates that among the 0-4 year olds, more girls than boys returned (14% and 11% respectively) and in the age group over 60 years more men returned. In the age group 5 to 17 years the gender difference is less significant (1% more boys) and among adults the gender division is well balanced.

Table 8: IOM Sudan/SSRRC, Area of Return Tracking: cumulative data age and gender breakdown by state, February 2007 to June 2009

0 to 4 years 5 to 17 years 18 to 59 years 60 + years State Total Male Female Male Female Male Female Male Female CES 5,315 6,783 11,378 11,345 9,677 9,993 1,869 1,375 57,735 EES 3,124 4,179 6,590 6,709 7,179 6,592 1,372 1,091 36,836 Jonglei 3,673 4,297 5,547 5,432 4,908 6,182 1,088 850 31,977 Lakes 14,354 18,782 21,838 21,878 20,074 18,456 8,852 6,088 130,322 NBEG 26,438 35,147 39,710 38,411 31,828 31,725 12,745 10,326 226,330 Unity 7,005 8,022 11,761 10,552 8,413 9,204 2,631 2,463 60,051 Upper Nile 1,946 2,379 3,455 3,163 3,138 3,405 1,052 1,011 19,549 Warrap 5,551 6,505 9,181 8,445 8,251 7,468 2,138 1,763 49,302 WBEG 4,188 5,372 7,450 7,281 7,856 8,705 2,589 2,113 45,554 WES 2,617 2,994 5,100 5,053 4,356 5,211 916 839 27,086 SK 8,337 9,333 14,308 13,964 10,130 10,240 2,686 2,833 71,831 Gender Total 82,548 103,793 136,318 132,233 115,810 117,181 37,938 30,752 756,573 % of Gender 11% 14% 18% 17% 15% 15% 5% 4% 100% Age Group Total 186,341 268,551 232,991 68,690 756,573 % of Age Group 25% 35% 31% 9% 100%

14 6.5. Cumulative figures for vulnerable by state, from February 2007 to June 2009

Separated minors are those persons under the age of 18 who are separated from both parents, or from their previous legal or customary primary care-givers, but not necessarily from other relatives. These may, therefore, include children accompanied by other adult family members. Unaccompanied minors (UAM) are children who have been separated from both parents and are not being cared for by a guardian or another adult who, by law or custom, is responsible for doing so.

Verification exercises conducted by IOM on the data gathered from the field has indicated, however, that the majority of the children recorded as UAMs are under the care of extended family members or community members, and thus are more properly defined as ‘separated’ under the above definition. UAM, separated and missing children represent 15% of the total tracked vulnerable returnees: see Table 9 for more details. Detailed tracking data has been forwarded to UNICEF for follow up.

Pregnant and lactating women represent 43% of the total tracked vulnerable returnees: 14% were single parents and around 3% were malnourished.

Southern Kordofan state has the highest number of vulnerable IDPs tracked (5,351), followed by Eastern Equatoria (4,531), Lakes (3,912), and Northern Bahr El Ghazal (3,194).

Table 9: IOM Sudan/SSRRC, Area of Return Tracking: cumulative data vulnerability on state level, February 2007 to June 2009

STATE Total Child Pregnant Lactating Single Parent Missing Child Malnourished Separated Child Unaccompanied Protection Needs Mentally Disabled Medical Condition Physically Disabled CES 38 14 35 30 221 210 385 67 84 77 174 1,335 EES 227 33 952 46 270 492 1470 109 369 100 463 4,531 Jonglei 93 27 188 161 516 388 788 40 86 25 108 2,420 Lakes 444 145 601 265 340 579 601 171 137 112 517 3,912 NBEG 225 72 156 74 116 803 874 80 239 156 399 3,194 Unity 97 51 24 27 131 433 499 67 270 92 51 1,742 Upper Nile 67 21 20 16 801 243 532 49 190 80 133 2,152 Warrap 193 129 88 42 259 222 730 66 376 167 66 2,338 WBEG 26 36 44 164 77 753 956 117 143 84 69 2,469 WES 45 9 31 22 361 113 258 94 134 63 41 1,171 SK 456 146 82 222 1198 418 1433 79 432 259 626 5,351 Total 1,911 683 2,221 1,069 4,290 4,654 8,526 939 2,460 1,215 2,647 30,615 % 6% 2% 7% 3% 14% 15% 28% 3% 8% 4% 100%

6.6. Cumulative figures for transportation means, per state, from February 2007 to June 2009

The main means of transportation was reported as trucks or buses, which were used by 75% of returnees. 15% stated that they walked back, 5% stated they returned by barge and only 2% returned by aeroplane.

15 Table 10: IOM Sudan/SSRRC, Area of Return Tracking: cumulative data of transportation means at state level, February 2007 to June 2009

STATE Air Foot Railway Bus/Truck Water N/A Total CES 521 34,665 41 19,241 2,606 661 57,735 EES 444 2,741 12 32,637 849 153 36,836 Jonglei 404 433 425 21,946 7,988 781 31,977 Lakes 11,090 4,411 726 92,611 14,455 7,029 130,322 NBEG 575 18,885 320 203,566 1,032 1,952 226,330 Unity 1,074 1,529 672 50,695 5,466 615 60,051 Upper Nile 20 1,849 126 13,714 3,731 109 19,549 Warrap 189 5,915 30 37,476 3,681 2,011 49,302 WBEG 378 32,056 79 12,781 53 207 45,554 WES 1,436 11,194 151 13,478 626 201 27,086 SK 8 564 36 69,926 37 1,260 71,831 Total 16,139 114,242 2,618 568,071 40,524 14,979 756,573 % of Transport 2% 15% 0% 75% 5% 2% 100%

6.7. Correlation of departure points and final destination of movements of spontaneous returnees, from February 2007 to June 2009

32% of returnees left their area of displacement in Khartoum and returned to Northern Bahr el Ghazal, Unity, Southern Kordofan and Lakes States. 17% of spontaneous returnees returned from neighbouring countries to Central, Eastern, and Western Equatoria. 12% of the tracked returnees returned from Southern Darfur to Northern and Western Bahr el Ghazal. 10% of returnees left Western Bar el Ghazal to return to their area of origin in Lakes and other States. More details on the correlation of departure points and final destination are indicated in Table 11 and Figure 2.

16 Table 11: IOM Sudan/SSRRC, Area of Return Tracking: cumulative data correlation of departure points and final destination of spontaneous returnees, February 2007 to June 2009

Final destination Upper STATE CES EES Jonglei Lakes NBEG Unity Warrap WBEG WES SK Total % Nile

Blue Nile 63 33 53 352 31 349 101 1,028 2,010 0% Central Equatoria 1,543 7,676 4,975 5,660 478 1,507 14 1,006 418 7,823 104 31,204 4% Eastern Equatoria 89 355 6,211 543 129 97 202 366 23 8,015 1% El Gezira 38 6 20 335 2,529 510 586 306 43 7,631 12,004 2% Gedaref 36 41 6 40 610 260 26 26 7 3 2,303 3,358 0% Jonglei 25 70 193 47 550 88 - 973 0% Kassala 8 29 6 86 433 76 23 80 7 78 616 1,442 0% Khartoum 2,820 1,808 2,659 38,680 80,939 46,248 2,590 22,283 3,078 2,297 40,885 244,287 32% Lakes 8 142 807 786 188 1,055 7 934 1,170 213 - 5,310 1% Nile 19 6 242 35 15 172 489 0% Northern 1 22 6 322 426 14 89 13 242 1,135 0% Northern Bahr El Ghazal 5 17 47 699 357 21 7 1,488 2,953 48 13 5,655 1% Northern Darfur 10 4 47 5,120 3 29 193 40 115 5,561 1% Northern Kordofan 5 71 9,541 83 31 2,849 54 6 3,067 15,707 2% Out of Sudan 51,695 26,104 9,118 10,086 1,284 5,577 6,996 5,510 587 14,520 40 131,517 17% Red Sea 70 34 13 75 58 137 100 22 47 12 1,419 1,987 0% Sennar 6 1 220 12 1,958 272 443 415 16 1,000 4,343 1% Southern Darfur 35 205 84,325 13 14 425 6,854 10 238 92,119 12% Southern Kordofan 4 39 166 9,360 353 562 1,203 175 14 8,350 20,226 3% State of Departure/DestinationState of Unity 35 56 515 417 130 484 47 289 35 163 2,171 0% Upper Nile 130 27 5,757 799 178 1,343 110 145 19 27 1,190 9,725 1% Warrap 10 32 105 2,608 1,362 354 3 2,299 19,365 350 56 26,544 4% Western Bahr El Ghazal 10 138 35 58,523 1,611 104 13 6,180 7,049 473 15 74,151 10% Western Darfur 13 849 4 34 8 184 1,092 0% Western Equatoria 1,022 299 1,024 9,518 808 209 19 881 3,487 783 - 18,050 2% Western Kordofan 22 19,650 5 235 1,729 85 53 21,779 3% White Nile 78 19 313 673 3,470 298 7,224 613 44 63 2,924 15,719 2% Total 57,735 36,836 31,977 130,322 226,330 60,051 19,549 49,302 45,554 27,086 71,831 756,573 100%

% 8% 5% 4% 17% 30% 8% 3% 7% 6% 4% 9% 100%

17 Figure 2: Correlation between place of displacement and final destination of returnees based on area of return data

18 7. Analysis of En-route Tracking - Cumulative Data, November 2005 to June 2008

By the end of 2006, and with increased demand from stakeholders for actual numbers of returnees rather than ’indicators’, IOM gradually shifted its tracking methodology from En Route Tracking to Area of Return Tracking. During 2007, IOM began phasing out En route tracking by decreasing the en route tracking points and the program was suspended by the end of August 2008. The programme was, however, resumed in 2009 but was geographically limited to White Nile State with the main objective of monitoring State organized returns which were not necessarily to areas covered by Area of Return Tracking in Southern Sudan.

En Route Summary:

• Between November 2005 and June 2009, a total of 248,261 spontaneous returnees were tracked through 21 en route points between places of displacement and places of return. Around 898,656 of these returned through State or other non-UN/IOM planned return convoys. • The total number of families tracked en route during the reporting period was 47,361 families, with 5.2 as an average family size. • Tracked females and males were equally represented - 50% each • 44% of returnees were aged between 18 and 59, while 21% were children under five years. 5% of returnees were aged 60 or over. • Female headed households represented 39% of the total tracked households. • 78% of returnees used barges to reach their final destination and 5% used trucks. • The tracking system recorded 10,624 vulnerable cases (4%): pregnant and lactating women represent 87% and unaccompanied and separated children represent 4% of the total vulnerable cases.

It should be noted that the totals of Tables 12 and 13 (248,302 returnees) are more than the total of Table 14 and 17 (221,763 returnees) because 26,539 returnees travelling through state organized convoys did not have the time to provides details about gender, age and / or place of departure.

7.1. Household and individual cumulative statistics from November 2005 to June 2009

En-route tracking data has been gathered at various key transportation hubs (21 tracking points throughout Sudan) between places of displacement, mainly in North Sudan, and return areas in the southern parts of Sudan. The total number of spontaneous returnees tracked en-route between November 2005 and June 2008 was 231,193. See table 12 and Figure 3 for more details.

221,763 spontaneous returnees provided information about age, gender, vulnerability status, departure point and final destination (returnees with full profile), while 26,498 returnees, normally in state organized convoys, did not have the time to provide full information, providing only total number of returnees and final destination (returnees with partial profile).

En Route Tracking captured around 73,000 returnees as state organized/other organized convoys (of which 26,498 returnees gave only partial information): 47% of the State organised conveys were organised by Northern Bahr el Ghazal State (see Figure 4 for more details).

19 Table 12: IOM Sudan/SSRRC En-route tracking: cumulative data of spontaneous returnees per month, November 2005 to June 2009

Returnees with Full Returnees with Month HOH Total Returnees Profile partial Profile Nov 2005 991 3,602 3,602 Dec 2005 1,765 6,701 6,701 Jan 2006 1,249 4,781 4,781 Feb 2006 2,962 10,624 10,624 Mar 2006 4,389 16,947 16,947 Apr 2006 4,111 16,186 16,186 May 2006 5,285 20,105 2,381 22,486 Jun 2006 1,538 5,965 1,535 7,500 Jul 2006 685 2,537 225 2,762 Aug 2006 557 1,666 439 2,105 Sep 2006 549 2,006 101 2,107 Oct 2006 623 2,469 39 2,508 Nov 2006 487 1,908 507 2,415 Dec 2006 667 2,642 142 2,784 Jan 2007 1,039 4,017 166 4,183 Feb 2007 1,376 6,195 959 7,154 Mar 2007 2,435 25,072 797 25,869 Apr 2007 2,096 18,474 1,511 19,985 May 2007 1,863 9,999 1,988 11,987 Jun 2007 1,044 5,267 442 5,709 Jul 2007 559 2,544 94 2,638 Aug 2007 504 2,109 2,109 Sep 2007 603 2,369 2,369 Oct 2007 555 2,505 4 2,509 Nov 2007 890 4,137 751 4,888 Dec 2007 560 2,338 2,338 Jan 2008 499 2,233 18 2,251 Feb 2008 499 2,164 54 2,218 Mar 2008 831 4,119 126 4,245 Apr 2008 1,007 5,087 7,502 12,589 May 2008 693 3,246 2,500 5,746 Jun 2008 1,373 6,945 1,953 8,898 July 2008 737 3,529 0 3,529 Aug 2008 820 3,724 2,151 5,875 May 2009 872 4,294 22 4,316 Jun 2009 648 3,257 132 3,389 Total 47,361 221,763 26,539 248,302

20 Figure 3: IOM Sudan En-route Tracking: cumulative data of spontaneous returnees per month, November 2005 to June 2009

30,000

797 25,000

2,381

1,511 20,000

15,000

7,502 1,988 25,072

10,000 1,953 20,105

1,535 959 18,474 16,947 16,186 442 2,500 2,151 751 5,000 166 126 22 10,624 9,999 132 225 39 142 94 4

507 6,945 6,701 439 101 18 54 6,195 5,965 5,267 5,087 4,781 4,294 4,137 4,017 4,119 3,724 3,529 3,602 3,246 3,257 2,642 2,544 2,505 2,537 2,469 2,369 2,338 2,233 2,109 2,164 2,006 1,908

0 1,666 Jul 2007 Jul Jul 2006 Jul Apr 2008 Apr Oct 2007 Oct Apr 2007 Apr Oct 2006 Oct Apr 2006 Apr Jun 2008 Jun 2009 Jun Jan 2008 Jan 2008 Mar Jun 2007 Jun Jan 2007 Jan 2007 Mar Jun 2006 Jun Jan 2006 Jan 2006 Mar May 2008 May 2008 July 2008 Aug 2009 May Aug 2007 Aug 2007 Nov 2008 Feb May 2007 May Aug 2006 Aug 2006 Nov 2007 Feb May 2006 May Nov 2005 Nov 2006 Feb Sep 2007Sep 2007Dec Sep 2006Sep 2006Dec Dec 2005Dec

Figure 4: IOM Sudan En-route Tracking: cumulative data of Spontaneous Organized Return, November 2005 to June 2009

4% 2% 1% 0% 3%

16%

17% 47%

0% 8% 1% Atunijak Councilof Presidency / Voluntary Return Program Lakes State Government NBEG State Government SK Government Self Organized Shawaya Association at Khartoum SPLM SSRRC and GOSS Unity state government Warrab State Government

21 7.2. Cumulative returnees by state from November 2007 to June 2009

33% of the returnees returned to Southern Kordofan (including Abyei) and 23% of the returnees returned to Northern Bahr El Ghazal. See Table 13 for State level details and Annexes 12 to 23 for payam level detail.

Table 13: IOM Sudan En-route Tracking: cumulative returns to state of origin per month, November 2005 to June 2009

Upper Month CES EES Jonglei Lakes NBEG SK Unity Warrab WBEG WES OTHER Total Nile Nov 2005 157 24 481 59 7 649 582 815 804 24 3,602 Dec 2005 306 23 456 27 36 1,579 1,608 1,675 940 17 34 6,701 Jan 2006 238 18 379 93 226 1,269 527 1,009 1,005 17 4,781 Feb 2006 385 20 365 7 1,002 3,600 814 1,580 2,741 54 37 19 10,624 Mar 2006 773 55 435 25 3,974 5,393 1,317 2,473 2,097 281 99 25 16,947 Apr 2006 466 43 567 37 3,374 6,148 807 2,605 2,011 35 66 27 16,186 May 2006 520 79 547 68 3,865 11,571 368 2,783 2,308 191 131 55 22,486 Jun 2006 413 28 167 20 4,263 741 1,465 294 8 40 61 7,500 Jul 2006 307 44 61 5 46 1,221 139 869 61 9 2,762 Aug 2006 258 14 87 453 498 708 53 23 11 2,105 Sep 2006 343 192 155 705 128 577 3 4 2,107 Oct 2006 232 29 182 1,349 124 579 7 6 2,508 Nov 2006 106 21 128 28 4 1,370 40 590 102 26 2,415 Dec 2006 149 8 151 1,306 194 900 49 5 8 14 2,784 Jan 2007 133 10 169 39 78 1,906 93 975 759 10 7 4 4,183 Feb 2007 133 24 169 13 215 4,142 258 1,093 1,087 13 7 7,154 Mar 2007 207 59 207 275 16,658 4,725 327 1,550 1,783 47 31 25,869 Apr 2007 305 77 205 21 10,933 4,921 183 1,621 1,579 80 60 19,985 May 2007 243 56 190 115 2,090 5,567 480 1,444 1,550 184 36 32 11,987 Jun 2007 888 30 77 147 2,471 254 810 720 210 102 5,709 Jul 2007 830 81 69 886 66 375 196 135 2,638 Aug 2007 359 42 73 490 391 128 291 257 15 63 2,109 Sep 2007 569 61 123 120 672 341 10 261 134 4 74 2,369 Oct 2007 349 76 125 58 271 590 109 719 153 1 58 2,509 Nov 2007 313 65 158 206 993 2,029 145 432 423 94 30 4,888 Dec 2007 233 59 76 388 274 487 3 569 217 16 16 2,338 Jan 2008 409 106 82 75 25 793 3 503 204 51 2,251 Feb 2008 209 91 61 166 147 708 16 597 217 6 2,218 Mar 2008 683 143 129 440 344 938 15 907 587 23 36 4,245 Apr 2008 813 130 147 459 4,082 4,780 151 1,267 567 19 76 98 12,589 May 2008 478 147 164 583 2,012 1,113 1,102 73 52 22 5,746 Jun 2008 1,979 262 89 2,814 2,292 613 124 524 106 95 8,898 July 2008 1,701 373 50 520 275 270 189 47 104 3,529 Aug 2008 484 100 88 2,003 2,636 175 32 112 172 19 54 5,875 May 2009 445 50 146 109 429 1,714 96 513 452 324 38 4,316 Jun 2009 263 87 71 77 317 1,556 118 333 268 299 3,389 Total 16,679 2,727 6,829 8,830 57,934 81,992 10,498 34,815 23,958 1,932 1,691 417 248,302 % 7% 1% 3% 4% 23% 33% 4% 14% 10% 1% 1% 0% 100%

22 7.3. Cumulative figures - age and gender breakdown of spontaneous returnees

The age breakdown of all cumulative returnees indicates that 21% of the returnees were under five years old, and 31% were of school age (5 to 17 years). 44% were adults (18 to 59 years): this group represents the legal labour force tracked en route during the reporting period. 5% of returnees were over 60 years old. See table 14 and Figure 5 for more details.

Table 14: IOM Sudan En-route Tracking: cumulative data age and gender breakdown on state level, November 2005 to June 2009

0 to 4 years 5 to 17 years 18 to 59 years 60 + years State Total Male Female Male Female Male Female Male Female Central Equatoria 1,478 1,512 2,894 2,717 4,042 3,708 183 145 16,679 Eastern Equatoria 256 233 496 450 581 568 23 42 2,649 Jonglei 574 546 884 781 2,144 1,680 115 105 6,829 Lakes 677 1,252 1,497 1,385 1,918 1,543 426 84 8,782 Northern Bahr El Ghazal 4,737 7,925 5,979 7,386 7,370 7,590 1,497 2,193 44,677 Warrab 2,582 2,927 3,076 2,800 5,711 4,994 643 367 23,100 Western Bahr El Ghazal 130 138 297 256 469 389 35 27 1,741 Western Equatoria 160 120 317 259 443 368 11 13 1,691 Khartoum 4 6 9 7 9 3 3 41 Northern Darfur 2 3 1 3 7 6 22 Northern Kordofan 1 2 1 4 Southern Darfur 12 10 32 26 95 42 5 2 224 Southern Kordofan 6,347 6,553 12,108 11,367 16,153 15,953 1,968 1,426 71,875 Unity 962 997 1,314 1,153 2,172 2,129 227 129 9,083 Upper Nile 2,838 2,749 5,612 5,017 7,790 9,314 465 581 34,366 Total of Gender 20,760 24,973 34,516 33,607 48,904 48,287 5,601 5,115 221,763 % of Gender 9% 11% 15% 15% 22% 22% 3% 2% 100.00% Total of Age Group 45,733 68,123 97,191 10,716 221,763 % of Age Group 21% 31% 44% 5% 100%

7.4. Cumulative figures for departure points reflecting highest number of movements from November 2005 to June 2009

Khartoum remains the main source of North-South return movements with 68% (see Table 15): IDPs from Khartoum mainly returned to Southern Kordofan (54,011 returnees) and Northern Bahr el Ghazal (26,345. As mentioned elsewhere, however, the high levels of mobility between Khartoum and Southern Kordofan have a significant distorting influence on this data. Considering this, Northern Bahr el Ghazal may be considered the State with the largest number of returns, though more study on population flows between Southern Kordofan and Khartoum would be required to verify this assumption (see Section 5 for more details).

23 Table 15: IOM Sudan En-route Tracking: cumulative breakdown of states of departure to states of final destination, November 2005 to June 2009

STATE Nile Nile Unity Unity Total Lakes Sennar Warrap Warrap Jonglei Gedaref Kassala Red Sea Sea Red Northern Northern Blue Nile Nile Blue El Gezira Khartoum White Nile Nile White Upper Nile Out of Sudan Western Darfur Western Darfur Northern Darfur Darfur Northern Southern Darfur Central Equatoria Western Kordofan Western Kordofan Western Equatoria Northern Kordofan Kordofan Northern Southern Kordofan Western Bahr Ghazal Western Bahr El Northern Bahr El Ghazal Ghazal El Bahr Northern

CES 497 137 307 354 12,544 170 38 5 8 52 394 171 73 141 26 378 2 7 10 9 1,320 6 6 24 16,679 EES 20 34 107 27 1,938 42 226 6 9 24 204 12 2,649 Jonglei 406 477 72 24 3,631 24 32 32 53 223 24 14 669 1,148 6,829 Khartoum 9 10 22 - 41 Lakes 8 39 68 8,129 4 2 27 22 21 4 114 32 149 13 3 147 8,782 NBEG 933 748 3,403 138 26,345 47 45 40 594 7,273 177 6 25 11 1,805 3,087 44,677 ND 7 8 7 22 NK 4 4 SD 3 23 9 7 81 20 22 59 224 SK 1,194 7,273 1,720 640 54,011 9 208 307 87 179 592 1,624 54 143 318 48 7 8 3,453 71,875 Unity 89 8 4 8,099 6 239 6 174 40 14 404 9,083 Upper 213 1,450 193 105 13,393 14 45 42 42 1,528 29 16 5,566 3 11 11,716 34,366 Nile Warrab 467 542 70 25 18,889 7 3 233 987 4 246 52 191 21 22 12 11 2 4 1,255 57 23,100 WBEG 21 5 1,600 25 14 3 4 9 30 29 1 1,741 WES 29 20 123 1,240 17 2 3 90 24 7 38 98 1,691 Total 3,770 10,837 5,914 1,515 149,916 9 482 482 19 375 1,581 1,477 4,642 7,481 769 71 7,182 91 85 26 23 1,818 22,929 19 9 241 221,763 % 2% 5% 3% 1% 68% 0% 0% 0% 0% 0% 1% 1% 2% 3% 0% 0% 3% 0% 0% 0% 0% 1% 10% 0% 0% 0% 100%

24 Figure 5: Correlation between place of displacement and final destination of returnees based on en route data June 2009

25 Figure 6: Tracking of Spontaneous Returns in South Sudan and Southern Kordofan- Cumulative January 2005-June 2009

26

Annexes

27 Annex 1: Central Equatoria, tracking in area of return data by payam ...... 29 Annex 2: Eastern Equatoria State, tracking in area of return data by payam...... 29 Annex 3: , tracking in area of return data by payam...... 30 Annex 4: Lakes State, tracking in area of return data by payam...... 30 Annex 5: Northern Bahr El Ghazal State, tracking in area of return data by payam ...... 31 Annex 6: Upper Nile state, tracking in area of return data by payam ...... 31 Annex 7: Unity State, tracking in area of return data by payam ...... 32 Annex 8: Warrab State, tracking in area of return data by payam...... 33 Annex 9: Western Bahr El Ghazal State, tracking in area of return data by payam...... 33 Annex 10: Western Equatoria State, tracking in area of return data by payam...... 34 Annex 11: Southern Kordofan State estimated returnees, tracking in area of return data by payam...... 35 Annex 12: Southern Kordofan State actual tracked returnees(till June 2009), tracking in area of return data by payam ...... 36 Annex 13: Central Equatoria State, tracking en route data by payam...... 37 Annex 14: Unity State, tracking en route data by payam ...... 37 Annex 15: Jonglei State, tracking en route data by payam...... 38 Annex 16: Western Bahr El Ghazal Equatoria State, tracking en route data by payam...... 38 Annex 17: Northern Bahr El Ghazal State, tracking en route data by payam ...... 39 Annex 18: Southern Kordofan State and Abyie, tracking en route data by payam...... 40 Annex 19: Eastern Equatoria State, tracking en route data by payam...... 40 Annex 20: Lakes State, tracking en route data by payam...... 41 Annex 21: Upper Nile State, tracking en route data by payam ...... 41 Annex 22: Western Equatoria State, tracking en route data by payam ...... 42 Annex 23: Warrap State, tracking en route data by payam ...... 42 Annex 24: Other States, tracking en route data by payam...... 42

28 Annex 1: Central Equatoria, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Central Equatoria Juba Juba 130 0.23% Central Equatoria Juba Kator 140 0.24% Central Equatoria Juba Lobonok 1,523 2.64% Central Equatoria Juba Mangalla 308 0.53% Central Equatoria Juba Muniki 92 0.16% Central Equatoria Juba Wonduruba 3,284 5.69% Central Equatoria Kajo-Keji Kangapo I 486 0.84% Central Equatoria Kajo-Keji Kangapo II 1,055 1.83% Central Equatoria Kajo-Keji Lire 1,000 1.73% Central Equatoria Kajo-Keji Liwolo 2,311 4.00% Central Equatoria Kajo-Keji Nyepo 840 1.45% Central Equatoria Lainya Kenyi 4,744 8.22% Central Equatoria Lainya Kopera 6,817 11.81% Central Equatoria Lainya Lainya 2,514 4.35% Central Equatoria Lainya Mukaya 1,568 2.72% Central Equatoria Lainya Wuji 5,302 9.18% Central Equatoria Morobo Gulumbi 3,557 6.16% Central Equatoria Morobo Kimba 2,596 4.50% Central Equatoria Morobo Lujulo 3,299 5.71% Central Equatoria Morobo Panyume 741 1.28% Central Equatoria Morobo Wudabi 1,111 1.92% Central Equatoria Yei River Lasu 772 1.34% Central Equatoria Yei River Mugwo 3,753 6.50% Central Equatoria Yei River Otogo 1,138 1.97% Central Equatoria Yei River Tore 785 1.36% Central Equatoria Yei River Yei Town 7,869 13.63% CES 57,735 100.00%

Annex 2: Eastern Equatoria State, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Eastern Equatoria Budi Kimotong 54 0.15% Eastern Equatoria Budi Komiri 382 1.04% Eastern Equatoria Budi Lauro 230 0.62% Eastern Equatoria Budi Lotukei 107 0.29% Eastern Equatoria Budi Nahichod Central 68 0.18% Eastern Equatoria Budi Ngaric 95 0.26% Eastern Equatoria Ikwoto Hatire 2,448 6.65% Eastern Equatoria Ikwoto Ikwoto 2,633 7.15% Eastern Equatoria Ikwoto Imotong 3,151 8.55% Eastern Equatoria Ikwoto Lomohidang North 4,431 12.03% Eastern Equatoria Ikwoto Lomohidang South 4,473 12.14% Eastern Equatoria Ikwoto Losite 1,031 2.80% Eastern Equatoria kapoeta South Kapoeta Town 622 1.69% Eastern Equatoria kapoeta South Katiko 84 0.23% Eastern Equatoria kapoeta South Longeleiya 67 0.18% Eastern Equatoria kapoeta South Morungor 449 1.22% Eastern Equatoria kapoeta South Pwata 383 1.04% Eastern Equatoria Lafon Arilo 1,915 5.20% Eastern Equatoria Lafon Burgilo 1,116 3.03% Eastern Equatoria Lafon Imehejek 534 1.45% Eastern Equatoria Lafon Kurumi 174 0.47% Eastern Equatoria Lafon Lohutok 1,117 3.03% Eastern Equatoria Lafon Longiro 1,026 2.79% Eastern Equatoria Lafon Marguna 170 0.46% Eastern Equatoria Lafon Pacidi 1,067 2.90% Eastern Equatoria Magwi Lobone 1,135 3.08% Eastern Equatoria Magwi Magwi 1,191 3.23% Eastern Equatoria Magwi Mugali 57 0.15% Eastern Equatoria Magwi 610 1.66% Eastern Equatoria Magwi Pageri 2,460 6.68% Eastern Equatoria Bur 876 2.38% Eastern Equatoria Torit Hiyalla 1,286 3.49% Eastern Equatoria Torit Homodonge 396 1.08% Eastern Equatoria Torit Ifwotur 894 2.43% Eastern Equatoria Torit Kudo 104 0.28% EES 36,836 100.00%

29 Annex 3: Jonglei State, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Jonglei Ayod Mogok 451 1.41% Jonglei Bor Anyidi 1,850 5.79% Jonglei Bor Baidit 1,472 4.60% Jonglei Bor Jalle 1,770 5.54% Jonglei Bor Konyang 706 2.21% Jonglei Bor Makuach 2,152 6.73% Jonglei Duk Ageer 2,364 7.39% Jonglei Duk Dongchack 1,297 4.06% Jonglei Duk Duk Padiet 2,881 9.01% Jonglei Duk Duk Payuel 2,337 7.31% Jonglei Duk Pagak 2,855 8.93% Jonglei Duk Pajut 488 1.53% Jonglei Twic East Aioung 1,930 6.04% Jonglei Twic East Kongor 2,402 7.51% Jonglei Twic East Lith 2,227 6.96% Jonglei Twic East Nyuak 3,265 10.21% Jonglei Twic East Pakeer 1,530 4.78% Jonglei 31,977 100.00%

Annex 4: Lakes State, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Lakes Awerial Abuyung 1,378 1.06% Lakes Awerial Awerial town 106 0.08% Lakes Awerial Bunagok 535 0.41% Lakes Awerial Magok 74 0.06% Lakes Awerial Paluk 13 0.01% Lakes Cueibet Abiriu 2,127 1.63% Lakes Cueibet Cit- Cok 2,467 1.89% Lakes Cueibet Cueibet town 2,929 2.25% Lakes Cueibet Duony 1,996 1.53% Lakes Cueibet Malou -Pec 2,348 1.80% Lakes Cueibet Mayath 365 0.28% Lakes Cueibet Ngaap 2,877 2.21% Lakes Cueibet Pagoor 2,259 1.73% Lakes Centre Amongpiny 7,666 5.88% Lakes Rumbek Centre Jiir 7,098 5.45% Lakes Rumbek Centre Malek 11,212 8.60% Lakes Rumbek Centre Matangai 5,915 4.54% Lakes Rumbek Centre Mayom 4,862 3.73% Lakes Rumbek Centre Rumbek Town 4,788 3.67% Lakes Rumbek East Aduel town 71 0.05% Lakes Rumbek East Akot 4,645 3.56% Lakes Rumbek East Atiaba 4,120 3.16% Lakes Rumbek East Cuei - Cok 1,850 1.42% Lakes Rumbek East Malengagok 3,244 2.49% Lakes Rumbek East Pacong 3,397 2.61% Lakes Rumbek East Paloc 4,981 3.82% Lakes Rumbek North Aloor 506 0.39% Lakes Rumbek North Madol 582 0.45% Lakes Rumbek North Malueth 824 0.63% Lakes Rumbek North Maper Town 344 0.26% Lakes Rumbek North Meen 592 0.45% Lakes Rumbek North Wurieng 275 0.21% Lakes Wulu Bhar- Gel (1) 3,022 2.32% Lakes Wulu Damoloto 3,864 2.96% Lakes Wulu Makundi 2,948 2.26% Lakes Wulu Wulu Town 5,769 4.43% Lakes Yirol West Abang 2,555 1.96% Lakes Yirol West Aluak - Luak 1,253 0.96% Lakes Yirol West Anuol 604 0.46% Lakes Yirol West Geng-Geng 2,662 2.04% Lakes Yirol West Ger 1,676 1.29% Lakes Yirol West Mapuordit 1,417 1.09% Lakes Yirol West Yirol Town 9,612 7.38% Lakes Yirol East Adior 2,298 1.76% Lakes Yirol East Lekakudu 1,131 0.87% Lakes Yirol East Malek 1,234 0.95% Lakes Yirol East Nyang Town 1,587 1.22% Lakes Yirol East Pagarou 586 0.45% Lakes Yirol East Shambe 203 0.16% Lakes Yirol East Tit Agau 354 0.27% Lakes Yirol East Yali 1,101 0.84% Lakes 130,322 100.00%

30 Annex 5: Northern Bahr El Ghazal State, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Northern Bahr El Ghazal Aweil Center Achanna 1,491 0.66% Northern Bahr El Ghazal Aweil Center Aroyo 1,846 0.82% Northern Bahr El Ghazal Aweil Center Awada 2,142 0.95% Northern Bahr El Ghazal Aweil Center Awulic 5,250 2.32% Northern Bahr El Ghazal Aweil Center Baac 1,458 0.64% Northern Bahr El Ghazal Aweil Center Barmayen 2,663 1.18% Northern Bahr El Ghazal Aweil Center Chel South 146 0.06% Northern Bahr El Ghazal Aweil Center Nyalath 2,211 0.98% Northern Bahr El Ghazal Aweil East Baac 24,369 10.77% Northern Bahr El Ghazal Aweil East Madhol 12,694 5.61% Northern Bahr El Ghazal Aweil East Malual Bai 16,496 7.29% Northern Bahr El Ghazal Aweil East Mangar Tong 6,463 2.86% Northern Bahr El Ghazal Aweil East Mangok 8,339 3.68% Northern Bahr El Ghazal Aweil East Rumaker 2,787 1.23% Northern Bahr El Ghazal Aweil East Wunlang 5,743 2.54% Northern Bahr El Ghazal Aweil East Yargot 14,672 6.48% Northern Bahr El Ghazal Aweil North Ariath 4,413 1.95% Northern Bahr El Ghazal Aweil North Malual Centre 7,758 3.43% Northern Bahr El Ghazal Aweil North Malual East 15,158 6.70% Northern Bahr El Ghazal Aweil North Malual North 12,279 5.43% Northern Bahr El Ghazal Aweil North Malual West 7,303 3.23% Northern Bahr El Ghazal Aweil South Ayai 3,233 1.43% Northern Bahr El Ghazal Aweil South Gakrol 4,073 1.80% Northern Bahr El Ghazal Aweil South Nyieth 1,153 0.51% Northern Bahr El Ghazal Aweil South Nyocawany 6,791 3.00% Northern Bahr El Ghazal Aweil South Panthou 2,251 0.99% Northern Bahr El Ghazal Aweil South Tarweng 2,757 1.22% Northern Bahr El Ghazal Aweil South Tiaraliet 1,485 0.66% Northern Bahr El Ghazal Aweil South Watmuok 7,159 3.16% Northern Bahr El Ghazal Aweil West Ayat Center 3,294 1.46% Northern Bahr El Ghazal Aweil West Ayat East 5,791 2.56% Northern Bahr El Ghazal Aweil West Ayat West 6,976 3.08% Northern Bahr El Ghazal Aweil West Gomjuer Centre 5,561 2.46% Northern Bahr El Ghazal Aweil West Gomjuer East 2,935 1.30% Northern Bahr El Ghazal Aweil West Gomjuer West 13,646 6.03% Northern Bahr El Ghazal Aweil West Mariam East 2,117 0.94% Northern Bahr El Ghazal Aweil West Mariam West 1,427 0.63% NBEG 226,330 100.00%

Annex 6: Upper Nile state, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Upper Nile Baliet Abwong 195 1.00% Upper Nile Baliet Adong 363 1.86% Upper Nile Baliet Nyong Kue 244 1.25% Upper Nile Baliet Nyongrial 1,022 5.23% Upper Nile Fashoda Kodok 625 3.20% Upper Nile Luakpiny (Nasir) Dinkar 61 0.31% Upper Nile Luakpiny (Nasir) Jingmir 503 2.57% Upper Nile Luakpiny (Nasir) Kiech Kuon 434 2.22% Upper Nile Luakpiny (Nasir) Koat 43 0.22% Upper Nile Luakpiny (Nasir) Kuerenge 1,483 7.59% Upper Nile Luakpiny (Nasir) Mading 634 3.24% Upper Nile Luakpiny (Nasir) Maker 215 1.10% Upper Nile Luakpiny (Nasir) Nasir 1,616 8.27% Upper Nile Luakpiny (Nasir) Roam 173 0.88% Upper Nile Luakpiny (Nasir) Wanding 563 2.88% Upper Nile Maiwut Jotome 99 0.51% Upper Nile Maiwut Kigile 137 0.70% Upper Nile Maiwut Maiwut 936 4.79% Upper Nile Maiwut Pagaak 369 1.89% Upper Nile Maiwut Turu 198 1.01% Upper Nile Malakal Centre 457 2.34% Upper Nile Malakal Malakal North 146 0.75% Upper Nile Malakal Malakal South 81 0.41% Upper Nile Manyo Athithuay 1,107 5.66% Upper Nile Manyo Kaka 4,419 22.60% Upper Nile Manyo Wada Kona 712 3.64% Upper Nile Merlut Palosh 12 0.06% Upper Nile Renk Jalhak 133 0.68% Upper Nile Renk Renk 2,374 12.14% Upper Nile Renk Shimudi 20 0.10% Upper Nile Ulang Ulang 175 0.90% Upper Nile 19,549 100.00%

31 Annex 7: Unity State, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Unity Abiemnom Abiemnom 669 1.11% Unity Abiemnom Awor Piny 450 0.75% Unity Abiemnom Bang Bang 500 0.83% Unity Abiemnom Manajoka 415 0.69% Unity Guit Kadet 544 0.91% Unity Guit Kuac 862 1.44% Unity Guit Kuerguina 292 0.49% Unity Guit Nimni 236 0.39% Unity Guit Nyathor 542 0.90% Unity Guit Nying 305 0.51% Unity Guit Wathnyona 222 0.37% Unity Koch Boaw 3,120 5.20% Unity Koch Gany 1,146 1.91% Unity Koch Jaak 1,106 1.84% Unity Koch Koch 3,263 5.43% Unity Koch Ngony 610 1.02% Unity Koch Norbor 1,199 2.00% Unity Koch Pakur 1,358 2.26% Unity Leer Adok 1,381 2.30% Unity Leer Bow 27 0.04% Unity Leer Guat 547 0.91% Unity Leer Juong 92 0.15% Unity Leer Juongkang 925 1.54% Unity Leer Leer 633 1.05% Unity Leer Payak 815 1.36% Unity Leer Pilieny 821 1.37% Unity Leer Thonyor 1,266 2.11% Unity Mayiendit Babuong 96 0.16% Unity Mayiendit Bor 349 0.58% Unity Mayiendit Dablual 521 0.87% Unity Mayiendit Luom 578 0.96% Unity Mayiendit Mal 284 0.47% Unity Mayiendit Rubkuay 1,782 2.97% Unity Mayiendit Thaker 98 0.16% Unity Mayiendit Tharjiath Bor 147 0.24% Unity Mayom Bieh 228 0.38% Unity Mayom Kuerbona 353 0.59% Unity Mayom Kueryik 704 1.17% Unity Mayom Mankien 1,345 2.24% Unity Mayom Ngop 100 0.17% Unity Mayom Pub 78 0.13% Unity Mayom Riah 369 0.61% Unity Mayom Ruathnyibol 1,960 3.26% Unity Mayom Wang Bor 498 0.83% Unity Mayom Wangkai 200 0.33% Unity Panyijar Ganyliel 1,192 1.98% Unity Panyijar Kol 572 0.95% Unity Panyijar Mayom 240 0.40% Unity Panyijar Nyal 1,028 1.71% Unity Panyijar Pachak 13 0.02% Unity Panyijar Pachar 814 1.36% Unity Panyijar Pachinjok 109 0.18% Unity Panyijar Tharnhom 618 1.03% Unity Panyijar Tiap 670 1.12% Unity Rubkona 1,044 1.74% Unity Rubkona Budang 1,089 1.81% Unity Rubkona Dhor Bor 1,089 1.81% Unity Rubkona Kaljak 223 0.37% Unity Rubkona Kurkal 363 0.60% Unity Rubkona Ngop 844 1.41% Unity Rubkona Nhialdiu 550 0.92% Unity Rubkona Norlamwel 361 0.60% Unity Rubkona Bielshir 35 0.06% Unity Rubkona Panhiany 247 0.41% Unity Rubkona Rubkona 1,169 1.95% Unity Rubkona Wathjak 1,039 1.73% Unity Ruweng Aliny 396 0.66% Unity Ruweng Biu 346 0.58% Unity Ruweng Jamjang 890 1.48% Unity Ruweng Nyeel 3,417 5.69% Unity Ruweng Panyang 4,099 6.83% Unity Ruweng Pariang 3,028 5.04% Unity Ruweng Wunkur 1,530 2.55% Unity 60,051 100.00%

32 Annex 8: Warrab State, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Warrap Gogrial East Pathoun East 1,484 3.01% Warrap Gogrial East Pathoun West 532 1.08% Warrap Gogrial West Akon 2,838 5.76% Warrap Gogrial West Akon North 12 0.02% Warrap Gogrial West Alek North 525 1.06% Warrap Gogrial West Alek South 3,719 7.54% Warrap Gogrial West Alek West 222 0.45% Warrap Gogrial West Gogrial 1,664 3.38% Warrap Gogrial West Kuac North 2,180 4.42% Warrap Gogrial West Kuac South 1,841 3.73% Warrap Gogrial West Riau 809 1.64% Warrap Tonj East Ananatak 43 0.09% Warrap Tonj East Makuac 196 0.40% Warrap Tonj East Palal 59 0.12% Warrap Tonj East Paliang 66 0.13% Warrap Tonj East Paweng 64 0.13% Warrap Tonj East Wunlit 205 0.42% Warrap Tonj North Akop 265 0.54% Warrap Tonj North Alabet 1,386 2.81% Warrap Tonj North Aliek 899 1.82% Warrap Tonj North Awul 2,504 5.08% Warrap Tonj North Kirik 275 0.56% Warrap Tonj North Manalor 1,863 3.78% Warrap Tonj North Marial Lou 381 0.77% Warrap Tonj North Pagol 3,246 6.58% Warrap Tonj North Rual Bet 577 1.17% Warrap Tonj South Jak 564 1.14% Warrap Tonj South Manyangok 424 0.86% Warrap Tonj South Thiet 393 0.80% Warrap Tonj South Tonj Town 1,210 2.45% Warrap Tonj South Wanhalel 421 0.85% Warrap Twic Ajak Kuac 5,626 11.41% Warrap Twic Akoc 1,968 3.99% Warrap Twic Aweng 317 0.64% Warrap Twic Panyok 886 1.80% Warrap Twic Turalei 6,542 13.27% Warrap Twic Wunrok 3,096 6.28% Warrap 49,302 100.00%

Annex 9: Western Bahr El Ghazal State, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Western Bahr El Ghazal Kangi 2,983 6.55% Western Bahr El Ghazal Jur River Kuarjena 1,418 3.11% Western Bahr El Ghazal Jur River Marial Bai 2,942 6.46% Western Bahr El Ghazal Jur River Roc ruc dong 6,740 14.80% Western Bahr El Ghazal Jur River Udici 3,405 7.47% Western Bahr El Ghazal Jur River Wau Bai 14,358 31.52% Western Bahr El Ghazal Raja Diem Zeber 1,017 2.23% Western Bahr El Ghazal Raja Ere 3,460 7.60% Western Bahr El Ghazal Raja Kafiagengi 1,481 3.25% Western Bahr El Ghazal Raja Raja Town 2,076 4.56% Western Bahr El Ghazal Raja Ringi 662 1.45% Western Bahr El Ghazal Wau Bagari 1,259 2.76% Western Bahr El Ghazal Wau Bazia 779 1.71% Western Bahr El Ghazal Wau Beselia 636 1.40% Western Bahr El Ghazal Wau Wau North 1,469 3.22% Western Bahr El Ghazal Wau Wau South 869 1.91% WBEG 45,554 100.00%

33 Annex 10: Western Equatoria State, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Western Equatoria Ibba Ibba 698 2.58% Western Equatoria Maridi Kozi 435 1.61% Western Equatoria Maridi Landili 95 0.35% Western Equatoria Maridi Mambe 1,265 4.67% Western Equatoria Maridi Maridi 1,713 6.32% Western Equatoria Maridi Ngamunde 589 2.17% Western Equatoria Mundri West Lozoh 6 0.02% Western Equatoria Mundri West Amadi 2,249 8.30% Western Equatoria Mundri West Bangolo 1,533 5.66% Western Equatoria Mundri West Gulu 1,576 5.82% Western Equatoria Mundri West Kotobi 1,539 5.68% Western Equatoria Mundri West Mundri 1,631 6.02% Western Equatoria Tambura Kpangima 1,643 6.07% Western Equatoria Tambura Mupoi 638 2.36% Western Equatoria Tambura South Yubu 1,102 4.07% Western Equatoria Tambura Tambura 2,182 8.06% Western Equatoria Bangosu 2,867 10.58% Western Equatoria Yambio Gangura 985 3.64% Western Equatoria Yambio Li-Rangu 921 3.40% Western Equatoria Yambio Nadiangere 960 3.54% Western Equatoria Yambio Yambio 2,459 9.08% WES 27,086 100.00%

34 Annex 11: Southern Kordofan State estimated returnees, tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Southern Kordofan Abu Jabiaha Locality Gedid Abunuwara 1,682 0.56% Southern Kordofan Abu Jabiaha Locality Alsirajia AU - 0.00% Southern Kordofan Abu Jabiaha Locality Abu Jubaiha AU 1,305 0.44% Southern Kordofan Abujabieha/Locality Kalogi/AU 135 0.05% Southern Kordofan Abujabieha/Locality Eltartar/AU - 0.00% Southern Kordofan Abujabieha/Locality Wakarra - 0.00% Southern Kordofan Canoubya Boma Kawalib Payam 3,786 1.27% Southern Kordofan Dilling Teimen 1,959 0.66% Southern Kordofan Dilling Selara 15,810 5.30% Southern Kordofan Dilling Kurgul 1,050 0.35% Southern Kordofan Dilling Julud 3,340 1.12% Southern Kordofan Dilling Wali 8,154 2.74% Southern Kordofan Dilling Amaa 2,655 0.89% Southern Kordofan Dilling Guld 3,388 1.14% Southern Kordofan Dilling Omkrom 970 0.33% Southern Kordofan Dilling Kapala 5,406 1.81% Southern Kordofan Dilling Katla 3,827 1.28% Southern Kordofan Dilling Farshaia 66 0.02% Southern Kordofan Dilling Locality Habeila AU 19,237 6.45% Southern Kordofan Dilling Locality Kurgul AU 7,300 2.45% Southern Kordofan Dilling Locality Elkurgol AU 1,591 0.53% Southern Kordofan Dilling Locality Freshaya 316 0.11% Southern Kordofan Dilling Locality Dibeibat 107 0.04% Southern Kordofan Dilling Locality Elhamadi AU 750 0.25% Southern Kordofan Dilling Locality Dilling AU 100 0.03% Southern Kordofan Elowsta Boma Kawalib Payam 2,726 0.91% Southern Kordofan Elshargya Boma Kawalib Payam 8,758 2.94% Southern Kordofan Kadogli Locality Elburam AU 62,207 20.87% Southern Kordofan Kadugli County Andolo 3,369 1.13% Southern Kordofan Kadugli County Saraf ElJamous 19,593 6.57% Southern Kordofan Kadugli County Ngoroban 3,740 1.25% Southern Kordofan Kadugli County Westren Kadulgi AU 8,724 2.93% Southern Kordofan Kadugli County Tangol 2,808 0.94% Southern Kordofan Kadugli County Alpetrol AU 19,166 6.43% Southern Kordofan Kadugli/Locality Kadulgi AU 42 0.01% Southern Kordofan Lagawa County Tulosh Payam 4,831 1.62% Southern Kordofan Lagawa County Tema Payam 1,694 0.57% Southern Kordofan Lagawa County Tabak Payam 1,332 0.45% Southern Kordofan Lagawa County Abu Jonook Payam 4,500 1.51% Southern Kordofan Lagawa Locality Lagawa AU 13,082 4.39% Southern Kordofan Rashad /County Irral payam 8,317 2.79% Southern Kordofan Rashad /County Kumber 9,553 3.20% Southern Kordofan Rashad /County Ildo payam 6,756 2.27% Southern Kordofan Rashad /County Longan 3,978 1.33% Southern Kordofan Rashad /County UmBrambeta AU 15,653 5.25% Southern Kordofan Rashad /County Abu Karshola AU - 0.00% Southern Kordofan Rashad /County Tajmla AU - 0.00% Southern Kordofan Rashad /County Alabassiya AU 68 0.02% Southern Kordofan Rashad Locality Rashad AU - 0.00% Southern Kordofan Rashad Locality Longan 411 0.14% Southern Kordofan Talodi Locality Kalogi AU 2,628 0.88% Southern Kordofan Talodi Locality Al-Liri AU 6,404 2.15% Southern Kordofan Tungali Boma Kawalib Payam 2,605 0.87% Southern Kordofan Um Hitan Boma Kawalib Payam 2,219 0.74% Southern Kordofan 298,098 100.00%

35 Annex 12: Southern Kordofan State actual tracked returnees(till June 2009), tracking in area of return data by payam

State Locality/County AU/RC/Payam Returnees % of Returnees Southern Kordofan Abu Jubaiyah Locality Abu Jebeha Town/Rural AU 2,044 2.85% Southern Kordofan Abu Jubaiyah Locality Elsirajiya AU 785 1.09% Southern Kordofan Abu Jubaiyah Locality Gedid Abu Nuara AU 552 0.77% Southern Kordofan Abu Jubaiyah Locality Tartar 249 0.35% Southern Kordofan Abu Jubaiyah Locality Wakra AU 530 0.74% Southern Kordofan Delling County Ama Payam 1,649 2.30% Southern Kordofan Delling County Ansho/ Kabeila payam 191 0.27% Southern Kordofan Delling County Julud Payam 1,702 2.37% Southern Kordofan Delling County Timein Payam 1,536 2.14% Southern Kordofan Delling County UmKrom Payam/Omkorom 664 0.92% Southern Kordofan Delling Locality Debebait AU 5 0.01% Southern Kordofan Delling Locality Dilling Town AU 3 0.00% Southern Kordofan Delling Locality Elkurgol AU 1,811 2.52% Southern Kordofan Delling Locality Habilla AU 1,493 2.08% Southern Kordofan Delling Locality Mndal 92 0.13% Southern Kordofan Delling Locality Salara AU 288 0.40% Southern Kordofan Kadugli Locality Al Buram AU 9,379 13.06% Southern Kordofan Kadugli Locality Alpetrol AU 4,305 5.99% Southern Kordofan Kadugli Locality Kadugli Town AU 2,086 2.90% Southern Kordofan Kadugli County Demama Payam 8,544 11.89% Southern Kordofan Kadugli County Ngorban Payam 4,570 6.36% Southern Kordofan Kadugli County Saraf Jamous Payam 5,316 7.40% Southern Kordofan Lagawa Locality Alsunot 12 0.02% Southern Kordofan Lagawa Locality Lagawa AU 2,813 3.92% Southern Kordofan Lagawa County Tabak Payam 1,066 1.48% Southern Kordofan Lagawa County Tima/Abujunuk Payam 1,327 1.85% Southern Kordofan Lagawa County Tulushi Payam 4,728 6.58% Southern Kordofan Rashad Locality Abaseiya AU 149 0.21% Southern Kordofan Rashad Locality Abu Kosholla AU 282 0.39% Southern Kordofan Rashad Locality Rashad AU 745 1.04% Southern Kordofan Rashad Locality Um Lubia AU/Umbarambeita/AU 1,219 1.70% Southern Kordofan Rashad County Ildo Payam 1,396 1.94% Southern Kordofan Rashad County Iral Payam 13 0.02% Southern Kordofan Rashad County Longan Payam 1,119 1.56% Southern Kordofan Talodi Locality Kalogi AU 2,490 3.47% Southern Kordofan Talodi Locality Leri AU 5,903 8.22% Southern Kordofan Talodi Locality Talodi AU 775 1.08% Southern Kordofan 71,831 100.00%

36 Annex 13: Central Equatoria State, tracking en route data by payam

STATE COUNTY Payam Returnees Central Equatoria Juba Juba 12,560 Central Equatoria Kajo-Keji Kangepo I 47 Central Equatoria Kajo-Keji Lire 91 Central Equatoria Terekeka 103 Central Equatoria Yei Lainya 113 Central Equatoria Yei Morobo 60 Central Equatoria Yei Otogo 522 Central Equatoria Yei Tore 11 Central Equatoria Yei Yei 41 Central Equatoria Juba Bungu 8 Central Equatoria Juba Dolo 8 Central Equatoria Juba Kator 1,139 Central Equatoria Juba Liria 10 Central Equatoria Juba Lobonok 32 Central Equatoria Juba Mangalla 16 Central Equatoria Juba Molbor 2 Central Equatoria Juba Muniki 1,463 Central Equatoria Juba 121 Central Equatoria Juba Rokon 22 Central Equatoria Juba Wonduruba 18 Central Equatoria Kajo-keji Kangepo II 18 Central Equatoria Kajo-keji Ngepo 6 Central Equatoria Lainya Kopera 2 Central Equatoria Lainya Mukaya 2 Central Equatoria Terkeka Tali 11 Central Equatoria Terkeka Tombe 5 Central Equatoria Yei River Lasu 46 Central Equatoria Yei River Mugwo 1 Central Equatoria Yei River Yei Town 201 Central Equatoria 16,679

Annex 14: Unity State, tracking en route data by payam

STATE COUNTY Payam Returnees Unity Guit Guit 356 Unity Koch Koch 420 Unity Leer Mayindit 100 Unity Leer Thonyor 99 Unity Mayom Mankien 1,940 Unity Mayom Wichok 137 Unity Panyijar Ganyiel 75 Unity Panyijar Nyal 94 Unity Rubkona Rubkoana 5,278 Unity Ruweng Awet-Adet 370 Unity Ruweng Gumriak 140 Unity Ruweng Kueldit 10 Unity Ruweng Paweng 64 Unity 9,083

37 Annex 15: Jonglei State, tracking en route data by payam

STATE COUNTY Payam Returnees Jonglei Akobo Akobo 526 Jonglei Akobo Nyandit 18 Jonglei Atar Alam 31 Jonglei Atar Kurway 339 Jonglei Atar Wunlam 43 Jonglei Ayod Haat 57 Jonglei Ayod Jiech 26 Jonglei Ayod Mogok 84 Jonglei Ayod Pagil 19 Jonglei Ayod Wau 242 Jonglei Diror Walgak 12 Jonglei North Bor Duk Padiet 122 Jonglei North Bor Duk Payuel 16 Jonglei North Bor Kongor 136 Jonglei North Bor Lith 4 Jonglei North Bor Maar 7 Jonglei North Bor Nyuak 29 Jonglei North Bor Paliau 244 Jonglei Nyirol Lankien 16 Jonglei Nyirol Nyirol 24 Jonglei Old Fangak Juaibor 3 Jonglei Old Fangak Keew 11 Jonglei Old Fangak Kuernyang 29 Jonglei Old Fangak Nyadin 8 Jonglei Old Fangak Paguir 53 Jonglei Old Fangak Toch 265 Jonglei Pibor Pibor 95 Jonglei Pochalla Adongo 19 Jonglei Pochalla Pochalla 7 Jonglei South Bor Anyidi 23 Jonglei South Bor Baidit 24 Jonglei South Bor Jalle 29 Jonglei South Bor Makuac 4,124 Jonglei Waat Motot 28 Jonglei Waat Waat 116 Jonglei 6,829

Annex 16: Western Bahr El Ghazal Equatoria State, tracking en route data by payam

STATE COUNTY Payam Returnees Western Bahr El Ghazal Raja Raja 71 Western Bahr El Ghazal Wau Bazia 6 Western Bahr El Ghazal Wau Kuajiena 43 Western Bahr El Ghazal Wau Marial Wau 3 Western Bahr El Ghazal Wau Udici 1,314 Western Bahr El Ghazal Wau Wau West 139 Western Bahr El Ghazal Jur River Kangi 85 Western Bahr El Ghazal Raja 12 Western Bahr El Ghazal Wau Wau North 58 Western Bahr El Ghazal Wau Wau South 10 Western Bahr El Ghazal 1,741

38 Annex 17: Northern Bahr El Ghazal State, tracking en route data by payam

STATE COUNTY Payam Returnees Northern Bahr El Ghazal Aweil East Baac 9,154 Northern Bahr El Ghazal Aweil East Madhol 4,323 Northern Bahr El Ghazal Aweil East Malualbai 3,390 Northern Bahr El Ghazal Aweil East Mangar Tong 2,292 Northern Bahr El Ghazal Aweil East Mangok 974 Northern Bahr El Ghazal Aweil East Wunlang 1,690 Northern Bahr El Ghazal Aweil East Yargot 3,095 Northern Bahr El Ghazal Aweil North Baau 2 Northern Bahr El Ghazal Aweil North Malual Central 1,665 Northern Bahr El Ghazal Aweil North Malual East 3,814 Northern Bahr El Ghazal Aweil North Malual West 494 Northern Bahr El Ghazal Aweil South Gakrol 44 Northern Bahr El Ghazal Aweil South Mangargier 436 Northern Bahr El Ghazal Aweil South Wathmouk 157 Northern Bahr El Ghazal Aweil West Arioyo 152 Northern Bahr El Ghazal Aweil West Ayat 1,226 Northern Bahr El Ghazal Aweil West Gomjuer 1,378 Northern Bahr El Ghazal Aweil West Mariam 5,323 Northern Bahr El Ghazal Aweil Centre Aweil Town 1,133 Northern Bahr El Ghazal Aweil Centre Nyanlath 8 Northern Bahr El Ghazal Aweil East Rumaker 1,294 Northern Bahr El Ghazal Aweil North Ariath 71 Northern Bahr El Ghazal Aweil North Malual North 949 Northern Bahr El Ghazal Aweil South Panthou 19 Northern Bahr El Ghazal Aweil South Tiar-Aliet 10 Northern Bahr El Ghazal Aweil West Ayat East 624 Northern Bahr El Ghazal Aweil West Gomjuer East 143 Northern Bahr El Ghazal Aweil West Gomjuer West 200 Northern Bahr El Ghazal Aweil West Mariem East 564 Northern Bahr El Ghazal Aweil West Mayom Akon 53 Northern Bahr El Ghazal 44,677

39 Annex 18: Southern Kordofan State and Abyie, tracking en route data by payam

STATE COUNTY Payam Returnees Southern Kordofan Abu Jubaiyah Abu Jebeha Town/Rural AU 798 Southern Kordofan Abu Jubaiyah Elsirajiya AU 121 Southern Kordofan Abu Jubaiyah Gedid Abu Nuara AU 353 Southern Kordofan Abu Jubaiyah Tartar/Wakra AU 608 Southern Kordofan Abyei Abyei 16,246 Southern Kordofan Delling Debebait AU 1,248 Southern Kordofan Delling Dilling Town AU 6,038 Southern Kordofan Delling Golfan/Nyimang Payam 334 Southern Kordofan Delling Habilla AU 4,653 Southern Kordofan Delling Julud Payam 696 Southern Kordofan Delling Katla Payam 222 Southern Kordofan Delling Salara AU 14 Southern Kordofan Delling Timein Payam 230 Southern Kordofan Delling Wali Payam 181 Southern Kordofan ElSalam Other_Payam_au_rc 206 Southern Kordofan Kadugli Al Buram AU 6,892 Southern Kordofan Kadugli Demama Payam 1,079 Southern Kordofan Kadugli Heiban AU 6,101 Southern Kordofan Kadugli Kadugli Rural AU 6,425 Southern Kordofan Kadugli Kadugli Town AU 4,200 Southern Kordofan Kadugli Ngorban Payam 3,475 Southern Kordofan Kadugli Saraf Jamous Payam 941 Southern Kordofan Kadugli Western Kadugli Payam 206 Southern Kordofan Lagawa Tabak/Kamda Payam 296 Southern Kordofan Lagawa Tima/Abujunuk Payam 462 Southern Kordofan Lagawa Tulushi Payam 401 Southern Kordofan Rashad Abaseiya AU 1,220 Southern Kordofan Rashad Abu Kosholla AU 174 Southern Kordofan Rashad Ildo Payam 4,216 Southern Kordofan Rashad Iral Payam 518 Southern Kordofan Rashad Kawalib Payam 459 Southern Kordofan Rashad Kumbur Payam 682 Southern Kordofan Rashad Tagemala AU 403 Southern Kordofan Rashad Um Lubia AU 255 Southern Kordofan Talodi Kalogi AU 267 Southern Kordofan Talodi Leri AU 716 Southern Kordofan Talodi Talodi AU 539 Southern Kordofan 71,875

Annex 19: Eastern Equatoria State, tracking en route data by payam

STATE COUNTY Payam Returnees Eastern Equatoria Budi Komiri 3 Eastern Equatoria Budi Lauro 11 Eastern Equatoria Kapoeta Kapoeta 77 Eastern Equatoria Kapoeta Narus 15 Eastern Equatoria Magwi Magwi 107 Eastern Equatoria Magwi Pageri 146 Eastern Equatoria Torit Bur (Loronyo) 1547 Eastern Equatoria Torit Hiyala 174 Eastern Equatoria Torit Ifuotu 3 Eastern Equatoria Torit Ikotos 43 Eastern Equatoria Torit Imotong 9 Eastern Equatoria Torit Imurok 5 Eastern Equatoria Torit Lopit East 17 Eastern Equatoria Torit Lopit West 2 Eastern Equatoria Torit Paciti (Lafon) 2 Eastern Equatoria Ikwoto Hatire 1 Eastern Equatoria Kapoeta North Chumakori 7 Eastern Equatoria Kopeata South Katiko 3 Eastern Equatoria Kopeata South Kopeata Town 37 Eastern Equatoria Lafon Lafon (Paciti) 29 Eastern Equatoria Magwi Lobone 12 Eastern Equatoria Magwi Nimule 33 Eastern Equatoria Magwi Pajok 23 Eastern Equatoria Torit Torit 343 Eastern Equatoria 2,649

40 Annex 20: Lakes State, tracking en route data by payam

STATE COUNTY Payam Returnees Lakes Rumbek-Cueibet Cueibet 37 Lakes Rumbek-Cueibet Kuei 120 Lakes Rumbek-Cueibet Rup 385 Lakes Yirol Abang 419 Lakes Yirol Ador 668 Lakes Yirol Lou 108 Lakes Awerial Awerial 27 Lakes Cuiebet Cuiebet 49 Lakes Cuiebet Ngap 13 Lakes Rumbek Central Rumbek Town 5 Lakes Yirol East Malek 644 Lakes Yirol East Adior 2,628 Lakes Yirol East Lekekadu 749 Lakes Yirol East Majokcidhop 7 Lakes Yirol East Nyang 1,511 Lakes Yirol East Pagarau 408 Lakes Yirol East Titagau 433 Lakes Yirol East Yalli 414 Lakes Yirol West Aluak aluak 18 Lakes Yirol West Ger 3 Lakes Yirol West Marpoudit 28 Lakes Yirol West Yirol Town 98 Lakes Yirol West Geng-Geng 5 Lakes Rumbek-Cueibet Balei 5 Lakes 8,782

Annex 21: Upper Nile State, tracking en route data by payam

STATE COUNTY Payam Returnees Upper Nile Fashoda Athidwoi 66 Upper Nile Fashoda Dethwok 82 Upper Nile Fashoda Kodok 1,437 Upper Nile Fashoda Kwojo 4,544 Upper Nile Fashoda Mwomo 178 Upper Nile Fashoda Wij-Rek 291 Upper Nile Latjor Baliet 559 Upper Nile Latjor Longuchok 1,157 Upper Nile Latjor Luakpiny 2,918 Upper Nile Latjor Mabaan 38 Upper Nile Latjor Maiwut 800 Upper Nile Latjor Ulang 464 Upper Nile Renk Renk 6,245 Upper Nile Sobat Sobat 2,170 Upper Nile Tonga Dhothim 24 Upper Nile Tonga Konam 78 Upper Nile Tonga Lello 12,495 Upper Nile Tonga Ogod 255 Upper Nile Tonga Pakang 25 Upper Nile Tonga Panyidwai 171 Upper Nile Tonga Panyikang 31 Upper Nile Tonga Tonga 338 Upper Nile 34,366

41 Annex 22: Western Equatoria State, tracking en route data by payam

STATE COUNTY Payam Returnees Western Equatoria Ezo Tawila & Korma 9 Western Equatoria Maridi Ibba 6 Western Equatoria Maridi Mambe 11 Western Equatoria Maridi Maridi 580 Western Equatoria Mundri Bangolo 4 Western Equatoria Mundri Kediba 13 Western Equatoria Mundri Lozoh 12 Western Equatoria Mundri Mundri 208 Western Equatoria Mundri Yeri 26 Western Equatoria Tambura Tambura 165 Western Equatoria Yambio Yambio 599 Western Equatoria Ezo Ezo 24 Western Equatoria Maridi Landili 2 Western Equatoria Yambio Bangasu 6 Western Equatoria Yambio Nzara 26 Western Equatoria 1,691

Annex 23: Warrap State, tracking en route data by payam

STATE COUNTY Payam Returnees Warrap Gogrial Akon 563 Warrap Gogrial Alek 1,188 Warrap Gogrial Gogrial 62 Warrap Gogrial 82 Warrap Gogrial Pathuon 103 Warrap Gogrial Riau 178 Warrap Gogrial Toch 871 Warrap Tonj Akop 5,541 Warrap Tonj Ananatak 235 Warrap Tonj Kuanjthii 668 Warrap Tonj Luacjang 165 Warrap Tonj Thiet 89 Warrap Tonj Tonj 232 Warrap Twic Ajakkuac 137 Warrap Twic Akoc 222 Warrap Twic Aweng 1,207 Warrap Twic Panyok 465 Warrap Twic Turalei 8,630 Warrap Twic Wunrok 2,398 Warrap Tonj North Aliek 1 Warrap Tonj South Manhalel 60 Warrap Tonj South Manyangok 3 Warrap 23,100

Annex 24: Other States, tracking en route data by payam

STATE COUNTY Payam Returnees Northern Darfur El Fasher Other_Payam_au_rc 7 Northern Darfur Kutum Kornoi, Um Baru, & Tina 6 Northern Darfur Kutum Kutum Rural & Fata Borno 7 Northern Darfur Mellit Malha 2 Northern Kordofan EnNuhud Other_Payam_au_rc 4 Southern Darfur Adila Abu Karaynka 16 Southern Darfur EdDaein Abu Matariq 143 Southern Darfur EdDaein Other_Payam_au_rc 51 Southern Darfur Nyala Malam 14 Khartoum Khartoum Other_Payam_au_rc 41 Other states 291

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